Teoría G: un futuro paradigma para el análisis de pruebas psicométricas
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| Autores: | , |
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| Formato: | artículo original |
| Estado: | Versión publicada |
| Fecha de Publicación: | 2011 |
| Descripción: | Generalizability Theory (G Theory) allows to measure the reliability of a test by means of the quantification of the importance of each one of its sources of variability. G Theory redefines the error as conditions or facets of measurement, using the Generalizability coefficient as an indicator to estimate the reliability. It is important to point out that this approach does not contradict the fundamental assumptions of Classical Test Theory. On the contrary, it can be seen as an extension of the latter. It is concluded that, even though in many cases the psychometric instruments are used to make relative decisions (norm referenced model), being Classical Test Theory sufficient for such situations; other instances, like those which involve the use of educational tests, often require decisions based on absolute standards of performance, where G Theory constitutes a very useful tool, much more informative than the classical approach. |
| País: | Portal de Revistas UCR |
| Institución: | Universidad de Costa Rica |
| Repositorio: | Portal de Revistas UCR |
| Lenguaje: | Español |
| OAI Identifier: | oai:portal.revistas.ucr.ac.cr:article/7115 |
| Acceso en línea: | https://revistas.ucr.ac.cr/index.php/ap/article/view/7115 |
| Palabra clave: | G Theory generalizability theory models for measurement error facet designs variance components teoría G teoría de la generalizabilidad modelos de error de medición diseños de facetas componentes de varianza |